Business Data Analyst

EXL; Jersey City (NJ); Hybrid; USD 120,000 - 150,000; Full time

Job summary

EXL in Jersey City, NJ is seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis and transformation to support enterprise initiatives in the Property & Casualty (P&C) Insurance domain.

The role requires hands-on SQL expertise, data mapping, and business analysis, with collaboration across stakeholders, SMEs, and technical teams to ensure data accuracy and alignment with business processes.

Qualifications

• Hands-on experience with data analysis, mapping and transformation in enterprise data environments.
• Proficiency in SQL, including analytical functions, query optimization and performance tuning.
• Experience developing STTM documents and understanding ETL/data flow processes.

Responsibilities

• Perform end-to-end data analysis, including profiling, validation and transformation for large-scale data integration and reporting projects.
• Develop source-to-target data mappings (STTM) and documentation based on business requirements.
• Collaborate with business users to translate requirements into technical specs.
• Work with data engineers to implement data consolidation, standardization and transformation logic.
• Optimize complex SQL queries for performance and accuracy with large databases.
• Participate in data quality assessments and recommend cleansing or enrichment strategies.
• Leverage P&C domain knowledge to align data with business processes.
• Facilitate communication between SMEs, data modelers and technical teams for successful data delivery.

Skills

SQL

Data analysis

Data mapping

Data transformation

Job description

Role: Business Data Analyst with Property & Casualty (P&C) Insurance Claims domain

Location: Jersey City, NJ (hybrid - 3 days on-site and 2 days' work from home)

Duration: Full Time

Experience: 8+ Years

In-Person Interview must

Job Summary:

• We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and values.

Key Responsibilities:

• Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
• Develop source-to-target data mappings (STTM) and documentation based on business requirements.
• Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
• Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic
• Optimize complex SQL queries for performance and accuracy in handling large database
• Participate in data quality assessments and recommend data cleansing or enrichment strategies
• Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes.
• Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Required Skills & Experience:

• 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments.
• Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning
• Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes.